In this post, we will learn about Convolutional Neural Networks (CNN) in the context of an image classification problem. We first cover the basic structure of CNNs and then delve into the detailed ...
In this post, we’ll learn how to implement a Convolutional Neural Network (CNN) from scratch using Keras. Here, we show a CNN architecture similar to the structure of VGG-16 but with fewer layers. We ...
What is YOLOX? YOLOX is a single-stage real-time object detector. It was introduced in the paper YOLOX: Exceeding YOLO Series in 2021. The baseline model of YOLOX is YOLOv3 SPP with Darknet53 ...
This is the third blog post in the Oak series. If you haven't checked out the previous posts on OAK, check them below. In this post, we are going to look at how we can run an existing pre-trained ...
In this post, we will learn about Video Classification. We will go over a number of approaches to make a video classifier for Human Activity Recognition. Basically, you will learn video classification ...
In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...
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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.
